低截获概率雷达信号检测方法的优化及应用

发布时间：2018-02-20 18:29

本文关键词： 雷达信号信号检测循环谱低截获概率傅里叶变换(FFT)累积算法　出处：《光学精密工程》2014年11期 　论文类型：期刊论文

【摘要】：针对利用循环谱理论检测低截获概率(LPI)雷达信号存在计算量大的问题,提出了一种优化的快速傅里叶变换(FFT)累积算法来更新信号处理设备的软件程序。分析了原软件中信号处理的过程,提出了采用并行流水型结构的优化方法;利用前一个滑动窗口内采样信号的FFT,推导出下一时刻采样信号序列的FFT;通过减少重复采样点,减少计算量。然后,利用循环谱检测中4个象限的循环谱的对称性,减少计算象限数,并采用一维搜索进行峰值检测,从而进一步减少计算量。理论推导显示,改进方法减少了计算复杂度和计算量。最后,利用提出的方法对常用的线性调频(LFM)和二进制相移键控(BPSK)信号进行了分析。结果表明,在相同条件下,利用改进的算法及一维搜索,计算时间可缩短为原算法的1/25左右。另外,算法改进后检测信号的幅度值仅减小了不到10%,不影响后续处理对循环谱参数的估计。
[Abstract]:In order to solve the problem of using cyclic spectrum theory to detect low probability of interception (LPI) radar signal, there is a large amount of calculation. An optimized fast Fourier transform (FFT) accumulation algorithm is proposed to update the software program of the signal processing equipment. The process of signal processing in the original software is analyzed and the optimization method using the parallel income structure is proposed. Using the FFTs of the sampled signals in the previous sliding window, the FFTs of the next sampling signal sequence are derived. By reducing the repeated sampling points, the computation is reduced. Then, the symmetry of the cyclic spectrum of the four quadrants in the cyclic spectrum detection is used. The computational complexity and computational complexity are reduced by reducing the number of quadrants and using one-dimensional search to detect the peak value. Finally, the theoretical derivation shows that the improved method reduces the computational complexity and computational complexity. The conventional LFM and binary phase shift keying (BPSK) signals are analyzed by using the proposed method. The results show that under the same conditions, the computation time can be shortened to about 1/25 of the original algorithm by using the improved algorithm and one-dimensional search. The amplitude of the detection signal is reduced by less than 10, which does not affect the estimation of the cyclic spectrum parameters in the subsequent processing.
【作者单位】：吉林大学通信工程学院;空军航空大学;
【基金】：吉林省教育厅“十二五”规划春苗专项资金资助项目
【分类号】：TN957.51

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